Benedetta Tessa

This work introduces a general control-theoretic framework for composing moderation actions according to their expected effects on an evolving platform and compares two control-theoretic moderators against several baselines and local strategies to demonstrate the advantages of studying content moderation as a global, adaptive, and sequential decision problem.

Despite increased systemic risks during high-stakes elections, social media platforms appear to make no meaningful adjustments to their content moderation strategies, casting doubt on the effectiveness of current self-regulatory approaches.